QRNN {fastai} | R Documentation |
QRNN
Description
Apply a multiple layer Quasi-Recurrent Neural Network (QRNN) to an input sequence.
Usage
QRNN(
input_size,
hidden_size,
n_layers = 1,
batch_first = TRUE,
dropout = 0,
bidirectional = FALSE,
save_prev_x = FALSE,
zoneout = 0,
window = NULL,
output_gate = TRUE
)
Arguments
input_size |
input_size |
hidden_size | |
n_layers |
n_layers |
batch_first |
batch_first |
dropout |
dropout |
bidirectional |
bidirectional |
save_prev_x |
save_prev_x |
zoneout |
zoneout |
window |
window |
output_gate |
output_gate |
Value
None
[Package fastai version 2.2.2 Index]